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Dataset Identifier

Metadata
datasetIdentifierPASS01544
datasetTypeSRM
submitterLeena Liljedahl <leena.liljedahl@immun.lth.se>
submitter_organizationDepartment of Immunotechnology, Lund University
lab_head_full_nameCarl Borrebaeck
lab_head_emailcarl.borrebaeck@immun.lth.se
lab_head_organizationCREATE Health, Lund University
lab_head_countrySweden
datasetTagEOC_subtypes
datasetTitleEpithelial ovarian cancer subgroup characterization in plasma using SRM-MS, based on EOC cyst fluid and tumour tissue findings, complemented with literature search
publicReleaseDate2021-11-10 00:00:00
finalizedDate
summaryPlasma with depletion of 14 most abundant plasma proteins (Agilent), nearly 400 synthetic peptides from JPT Berlin, tested in plasma pools, targeted final assay with 166 peptides, 159 protein, 18 control peptides, 11 depleted proteins. Protein selection based on previous cyst fluid and EOC tumour tissue MS analysis and literature in association to EOC. Samples collected at Sahlgrenska Akademiska sjukhus, Gothenburg, Sweden 2012-2015, 74 samples in total from benign ovarian cysts (cystadenofibromas n=14, cystadenomas, n=2), epithelial ovarian cancer (EOC; borderline type tumours n=13, endometrioid stage I-II n=7, mucinous stage I-II n=9, serous lowgrade stage I-II n=4, serous highgrade stage I-II n=8 and serous highgrade stage III n=17. Skyline and Anubis processing FDR of 0.01, NormalyzerDE with Loess global normalisation, Qlucore PCA, SIMCA OPLS-DA, Bionamic ROC AUC calculation using SVM and signatures selection based on variables of importance in OPLS-DA analysis and/or p-value, and LASSO. Comparison on different levels; benign vs all malignant, benign vs. grade, stage, type, subgroup.
contributorsLeena Liljedahl
Simon Hauri
Ola Kilsgård
Johan Malmström
Sofia Waldemarsson
Karin Sundfeldt
publicationunpublished Leena Liljedahl, Simon Hauri, Ola Kilsgård, Johan Malmström, Sofia Waldemarson, Karin Sundfeldt TITLE JOURNAL
growthPlasma with Agilent depletion of 14 most abundant plasma proteins. Followed by trypsin digestion and c18 cleanup.
treatmentBlood samples taken at time of surgery, after anaesthesia was given.
extraction
separation
digestionTrypsin based digestion
acquisition
informaticsSkyline and Anubis processing, FDR of 0.01
Loess Global/cyclic through NormalyzerDE evaluation.
Principal component analysis, ANOVA and t-tests.
OPLS-DA / supervised analysis in SIMCA
instrumentsThermo Scientific TSQ Quantiva
speciesHuman
massModificationsnone

Official URL for this dataset: http://www.peptideatlas.org/PASS/PASS01544
To access files via FTP, use credentials:
Servername: ftp.peptideatlas.org
Username: PASS01544
Password: LK7552b

Or use your browser's FTP mode: ftp://PASS01544:LK7552b@ftp.peptideatlas.org/


Listing of files:

 4.0K Mar  5  2020 DataOP2012_2015_mzML
 4.9K Mar  5  2020 EOC_Sahlgrenska_Sample_annotations.csv
  26M Mar  4  2020 LL_201705_OP_01_A06.raw
  26M Mar  4  2020 LL_201705_OP_02_B06.raw
  26M Mar  4  2020 LL_201705_OP_03_C06.raw
  26M Mar  4  2020 LL_201705_OP_04_C01.raw
  26M Mar  4  2020 LL_201705_OP_04_D06.raw
  26M Mar  4  2020 LL_201705_OP_05_G06.raw
  26M Mar  4  2020 LL_201705_OP_06_G01.raw
  26M Mar  4  2020 LL_201705_OP_06_H06.raw
  26M Mar  4  2020 LL_201705_OP_07_H01.raw
  26M Mar  4  2020 LL_201705_OP_08_M01.raw
  26M Mar  4  2020 LL_201705_OP_09_A02.raw
  26M Mar  4  2020 LL_201705_OP_100_A20.raw
  26M Mar  4  2020 LL_201705_OP_103_G20.raw
  26M Mar  4  2020 LL_201705_OP_109_G21.raw
  26M Mar  4  2020 LL_201705_OP_10_B02.raw
  26M Mar  4  2020 LL_201705_OP_112_170513083441_G22.raw
  26M Mar  4  2020 LL_201705_OP_11_C02.raw
  26M Mar  4  2020 LL_201705_OP_12_D02.raw
  26M Mar  4  2020 LL_201705_OP_13_G02.raw
  26M Mar  4  2020 LL_201705_OP_14_H02.raw
  26M Mar  4  2020 LL_201705_OP_15_M02.raw
  26M Mar  4  2020 LL_201705_OP_16_A03.raw
  26M Mar  4  2020 LL_201705_OP_17_B03.raw
  26M Mar  4  2020 LL_201705_OP_17_B08.raw
  26M Mar  4  2020 LL_201705_OP_18_C03.raw
  26M Mar  4  2020 LL_201705_OP_19_D03.raw
  26M Mar  4  2020 LL_201705_OP_20_G03.raw
  26M Mar  4  2020 LL_201705_OP_20_H08.raw
  26M Mar  4  2020 LL_201705_OP_21_H03.raw
  26M Mar  4  2020 LL_201705_OP_22_M03.raw
  26M Mar  4  2020 LL_201705_OP_22_M08.raw
  26M Mar  4  2020 LL_201705_OP_23_A04.raw
  26M Mar  4  2020 LL_201705_OP_23_A09.raw
  26M Mar  4  2020 LL_201705_OP_24_B04.raw
  26M Mar  4  2020 LL_201705_OP_24_B09.raw
  26M Mar  4  2020 LL_201705_OP_25_A01_02.raw
  26M Mar  4  2020 LL_201705_OP_25_C09.raw
  26M Mar  4  2020 LL_201705_OP_26_B01_02.raw
  26M Mar  4  2020 LL_201705_OP_27_C04.raw
  26M Mar  4  2020 LL_201705_OP_28_D04.raw
  26M Mar  4  2020 LL_201705_OP_28_M09.raw
  26M Mar  4  2020 LL_201705_OP_29_A10.raw
  26M Mar  4  2020 LL_201705_OP_29_G04.raw
  26M Mar  4  2020 LL_201705_OP_30_C10.raw
  26M Mar  4  2020 LL_201705_OP_30_H04.raw
  26M Mar  4  2020 LL_201705_OP_31_M04.raw
  26M Mar  4  2020 LL_201705_OP_32_A05.raw
  26M Mar  4  2020 LL_201705_OP_33_B05.raw
  26M Mar  4  2020 LL_201705_OP_33_G10.raw
  26M Mar  4  2020 LL_201705_OP_34_C05.raw
  26M Mar  4  2020 LL_201705_OP_35_D05.raw
  26M Mar  4  2020 LL_201705_OP_35_M10.raw
  26M Mar  4  2020 LL_201705_OP_37_H05.raw
  26M Mar  4  2020 LL_201705_OP_38_G11.raw
  26M Mar  4  2020 LL_201705_OP_38_M05.raw
  26M Mar  4  2020 LL_201705_OP_40_M11.raw
  26M Mar  4  2020 LL_201705_OP_44_G12.raw
  26M Mar  4  2020 LL_201705_OP_45_A11.raw
  26M Mar  4  2020 LL_201705_OP_46_A12.raw
  26M Mar  4  2020 LL_201705_OP_47_B12.raw
  26M Mar  4  2020 LL_201705_OP_50_B13.raw
  26M Mar  4  2020 LL_201705_OP_54_G13.raw
  26M Mar  4  2020 LL_201705_OP_57_A14.raw
  26M Mar  4  2020 LL_201705_OP_58_B14.raw
  26M Mar  4  2020 LL_201705_OP_61_G14.raw
  26M Mar  4  2020 LL_201705_OP_66_B15.raw
  26M Mar  4  2020 LL_201705_OP_72_A16.raw
  26M Mar  4  2020 LL_201705_OP_76_G16.raw
  26M Mar  4  2020 LL_201705_OP_79_A17.raw
  26M Mar  4  2020 LL_201705_OP_83_G17.raw
  26M Mar  4  2020 LL_201705_OP_86_A18.raw
  26M Mar  4  2020 LL_201705_OP_90_G18.raw
  26M Mar  4  2020 LL_201705_OP_95_G19.raw
  26M Mar  4  2020 LL_201705_OP_98_A19.raw
 2.2K Mar  4  2020 PASS01544_DESCRIPTION.txt
  98K Mar  5  2020 Transition List EOC.csv

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